GHOST

app.py

@@ -1,13 +1,12 @@
 # AUTOGENERATED! DO NOT EDIT! File to edit: gdrive/MyDrive/Colab Notebooks/Untitled8.ipynb.
 
 # %% auto 0
-__all__ = ['learn_inf', 'lbl_pred', 'image', 'label', 'examples', 'intf', 'btn_upload', 'classify_image', 'on_click_classify']
+__all__ = ['learn_inf', 'lbl_pred', 'image', 'label', 'examples', 'intf', 'classify_image']
 
 # %% gdrive/MyDrive/Colab Notebooks/Untitled8.ipynb 25
 from fastai.vision.all import *
 import gradio as gr
 
-
 # %% gdrive/MyDrive/Colab Notebooks/Untitled8.ipynb 27
 learn_inf = load_learner('bears/export.pkl')
 
@@ -25,20 +24,3 @@ label = gr.Label()
 examples = ['images/black.jpg', 'images/grizzly.jpg', 'images/teddy.jpg']
 intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)
 intf.launch(inline=False, debug=True)
-
-# %% gdrive/MyDrive/Colab Notebooks/Untitled8.ipynb 35
-def on_click_classify(change):
-    img = PILImage.create(btn_upload.data[-1])
-    out_pl.clear_output()
-    with out_pl: display(img.to_thumb(128,128))
-    pred,pred_idx,probs = learn_inf.predict(img)
-    lbl_pred.value = f'Prediction: {pred}; Probability: {probs[pred_idx]:.04f}'
-
-btn_run.on_click(on_click_classify)
-
-# %% gdrive/MyDrive/Colab Notebooks/Untitled8.ipynb 36
-btn_upload = widgets.FileUpload()
-
-# %% gdrive/MyDrive/Colab Notebooks/Untitled8.ipynb 37
-VBox([widgets.Label('Select your bear!'),
-      btn_upload, btn_run, out_pl, lbl_pred])